Security Engineering Vulnerability Protect Engineer

Title: Security Engineering Vulnerability Protect Engineer
Location: Remote

About the Role 

We''re seeking an experienced Security Engineering Vulnerability Protect Engineer to lead the deployment, administration, and strategic use of the HiddenLayer platform in defense of our AI/ML systems. This role sits at the intersection of cybersecurity engineering and applied machine learning, focused on protecting models and LLM-based applications from adversarial attacks, data poisoning, model theft, and other emerging AI-specific threats. You''ll partner closely with Data Science, MLOps, and broader security teams to build a resilient, well-governed AI security posture across the organization. 

Responsibilities 

Platform Operations
•    Deploy, configure, and administer the HiddenLayer platform
•    Integrate HiddenLayer with enterprise SIEM, SOAR, EDR, vulnerability management, and cloud security platforms
•    Create detection rules, dashboards, and executive reporting on AI security posture
AI/ML Threat Protection
•    Protect AI models against adversarial attacks, model theft, prompt injection, model poisoning, and unauthorized inference
•    Develop monitoring and detection strategies for production AI workloads
•    Conduct AI threat modeling exercises
•    Respond to AI-related security incidents and perform root cause analysis
Security Assessment & Governance
•    Assess AI applications for security risks across the full development lifecycle
•    Design governance around AI model inventory, risk classification, and lifecycle management
•    Document architecture, standards, and operational procedures

Cross-Functional Partnership
•    Partner with Data Science and MLOps teams to implement secure model deployment pipelines
•    Stay current on emerging AI attack techniques and defensive capabilities Required Qualifications
•    5+ years of experience in cybersecurity engineering or security architecture
•    2+ years supporting AI/ML security initiatives
•    Hands-on experience deploying or administering HiddenLayer
•    Working knowledge of adversarial machine learning techniques, including:
•    Prompt injection
•    Model extraction
•    Data poisoning
•    Model evasion
•    Membership inference
•    Supply chain attacks
•    Experience securing LLM-based applications
•    Understanding of AI model lifecycle management
•    Familiarity with Python and REST APIs
•    Experience with Kubernetes and container security
•    Knowledge of AI services on AWS, Azure, or Google Cloud Platform
•    Experience integrating security platforms via APIs and automation 

Preferred Qualifications
•    Experience with additional AI security platforms: Protect AI, Microsoft AI Security, NVIDIA AI Enterprise Security, or Palo Alto AI Runtime Security
•    Experience with ML platforms/tools: MLflow, Kubeflow, SageMaker, Vertex AI, or Azure Machine Learning
•    Experience with SIEM platforms: Splunk, Microsoft Sentinel, Google Chronicle, or QRadar
•    Security certifications: CISSP, GSEC, GIAC, or cloud security certifications
•    Familiarity with AI governance frameworks: NIST AI Risk Management Framework, OWASP Top 10 for LLM Applications, or MITRE ATLAS